Algorithm Development for Land Surface Temperature Retrieval:   Application to Chinese Gaofen-5 Data

doi:10.3390/rs9020161

CORC > 北京大学 > 地球与空间科学学院

	Algorithm Development for Land Surface Temperature Retrieval: Application to Chinese Gaofen-5 Data
	Chen, Yuanyuan ; Duan, Si-Bo ; Ren, Huazhong ; Labed, Jelila ; Li, Zhao-Liang
刊名	REMOTE SENSING
	2017
关键词	land surface temperature land surface emissivity split-window Gaofen-5 SPLIT-WINDOW ALGORITHMS MOISTURE STATUS SATELLITE DATA EMISSIVITY INDEX WATER EVAPOTRANSPIRATION PRODUCTS DROUGHT SPACE
DOI	10.3390/rs9020161
英文摘要	Land surface temperature (LST) is a key variable in the study of the energy exchange between the land surface and the atmosphere. Among the different methods proposed to estimate LST, the quadratic split-window ( SW) method has achieved considerable popularity. This method works well when the emissivities are high in both channels. Unfortunately, it performs poorly for low land surface emissivities (LSEs). To solve this problem, assuming that the LSE is known, the constant in the quadratic SW method was calculated by maintaining the other coefficients the same as those obtained for the black body condition. This procedure permits transfer of the emissivity effect to the constant. The result demonstrated that the constant was influenced by both atmospheric water vapour content (W) and atmospheric temperature (T0) in the bottom layer. To parameterize the constant, an exponential approximation between Wand T0 was used. A LST retrieval algorithm was proposed. The error for the proposed algorithm was RMSE = 0.70 K. Sensitivity analysis results showed that under the consideration of NE Delta T = 0.2 K, 20% uncertainty in W and 1% uncertainties in the channel mean emissivity and the channel emissivity difference, the RMSE was 1.29 K. Compared with AST 08 product, the proposed algorithm underestimated LST by about 0.8 K for both study areas when ASTER L1B data was used as a proxy of Gaofen-5 (GF-5) satellite data. The GF-5 satellite is scheduled to be launched in 2017.; China Scholarship Council [UMR7357]; National High-resolution Earth Observation Project [11-Y20A32-9001-15/17]; National Natural Science Foundation of China [41501406, 41231170]; SCI(E); ARTICLE; 2; 9
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/475280]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Chen, Yuanyuan,Duan, Si-Bo,Ren, Huazhong,et al. Algorithm Development for Land Surface Temperature Retrieval: Application to Chinese Gaofen-5 Data[J]. REMOTE SENSING,2017.
APA	Chen, Yuanyuan,Duan, Si-Bo,Ren, Huazhong,Labed, Jelila,&Li, Zhao-Liang.(2017).Algorithm Development for Land Surface Temperature Retrieval: Application to Chinese Gaofen-5 Data.REMOTE SENSING.
MLA	Chen, Yuanyuan,et al."Algorithm Development for Land Surface Temperature Retrieval: Application to Chinese Gaofen-5 Data".REMOTE SENSING (2017).